Unified Robust Training for Graph NeuralNetworks against Label Noise

Unified Robust Training for Graph NeuralNetworks against Label Noise

5 March 2021

Papers citing "Unified Robust Training for Graph NeuralNetworks against Label Noise"

15 / 15 papers shown

Title
NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise Zhonghao Wang Danyu Sun Sheng Zhou Haobo Wang Jiapei Fan Longtao Huang Jiajun Bu NoLa 25 0 0 06 Jun 2024
Noisy Node Classification by Bi-level Optimization based Multi-teacher Distillation Yujing Liu Zongqian Wu Zhengyu Lu Ci Nie Guoqiu Wen Ping Hu Xiaofeng Zhu 37 1 0 27 Apr 2024
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges Wei Ju Siyu Yi Yifan Wang Zhiping Xiao Zhengyan Mao ... Senzhang Wang Xinwang Liu Xiao Luo Philip S. Yu Ming Zhang AI4CE 36 36 0 07 Mar 2024
Mitigating Label Noise on Graph via Topological Sample Selection Yuhao Wu Jiangchao Yao Xiaobo Xia Jun-chen Yu Ruxing Wang Bo Han Tongliang Liu NoLa 47 2 0 04 Mar 2024
ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance Ling-Hao Chen Yuanshuo Zhang Taohua Huang Liangcai Su Zeyi Lin Xi Xiao Xiaobo Xia Tongliang Liu NoLa 28 9 0 13 Dec 2023
Resist Label Noise with PGM for Graph Neural Networks Qingqing Ge Jianxiang Yu Zeyuan Zhao Xiang Li NoLa AAML 18 0 0 03 Nov 2023
Combating Bilateral Edge Noise for Robust Link Prediction Zhanke Zhou Jiangchao Yao Jiaxu Liu Xiawei Guo Quanming Yao Li He Liang Wang Bo Zheng Bo Han AAML NoLa 28 10 0 02 Nov 2023
Data-centric Graph Learning: A Survey Jixi Liu Deyu Bo Cheng Yang Haoran Dai Qi Zhang Yixin Xiao Yufei Peng Chuan Shi GNN 27 19 0 08 Oct 2023
Robust Node Classification on Graphs: Jointly from Bayesian Label Transition and Topology-based Label Propagation Jun Zhuang M. Hasan 23 20 0 21 Aug 2022
CLNode: Curriculum Learning for Node Classification Xiaowen Wei Xiuwen Gong Yibing Zhan Bo Du Yong Luo Wenbin Hu 23 27 0 15 Jun 2022
Bayesian Robust Graph Contrastive Learning Yancheng Wang Yingzhen Yang OOD 23 1 0 27 May 2022
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection Bingzhe Wu Jintang Li Junchi Yu Yatao Bian Hengtong Zhang ... Guangyu Sun Peng Cui Zibin Zheng Zhe Liu P. Zhao OOD 25 25 0 20 May 2022
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability Enyan Dai Tianxiang Zhao Huaisheng Zhu Jun Xu Zhimeng Guo Hui Liu Jiliang Tang Suhang Wang 29 131 0 18 Apr 2022
Recent Advances in Reliable Deep Graph Learning: Inherent Noise, Distribution Shift, and Adversarial Attack Jintang Li Bingzhe Wu Chengbin Hou Guoji Fu Yatao Bian Liang Chen Junzhou Huang Zibin Zheng OOD AAML 24 6 0 15 Feb 2022
Noise-robust Graph Learning by Estimating and Leveraging Pairwise Interactions Xuefeng Du Tian Bian Yu Rong Bo Han Tongliang Liu Tingyang Xu Wenbing Huang Yixuan Li Junzhou Huang NoLa 30 11 0 14 Jun 2021